AI Medical Compendium

Key Advancements and Emerging Trends of Perovskite Solar Cells in 2024-2025.

Nano-micro letters Jan 15, 2026

The past two years have witnessed remarkable progress in perovskite solar cells (PSCs), marked by breakthroughs in power conversion efficiency and strides in addressing long-term operational stability. At present, the certified power conversion effic... read more

Accelerated brain aging in amyotrophic lateral sclerosis and its prognostic associations: a cohort study.

BMC medicine Jan 15, 2026

BACKGROUND: Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease, appearing to be associated with accelerated brain aging. Although increased brain age has been associated with mortality risk in older adults, it remains unclear ho... read more

Artificial intelligence-driven clustering for phenotyping life-threatening prehospital trauma.

Scandinavian journal of trauma, resuscitation and emergency medicine Jan 15, 2026

BACKGROUND: Traumatic patients usually suffer from several complex conditions that hinder their risk characterization. The aim of this study was to derive phenotypes of prehospital acute life-threatening trauma via nonsupervised artificial intelligen... read more

Reclaiming the Professional Narrative: Optimism, Action, and a Roadmap for the Future of Physical Therapist Education.

Journal, physical therapy education Jan 15, 2026

BACKGROUND AND PURPOSE: Concerns about student debt, wages, and reimbursement pressures are increasingly shaping the discourse within physical therapy. These challenges are real, but much of the discourse around physical therapy education is being sh... read more

Correlation of Automated in Vivo Image Quality With Radiologist's Performance in Abdomen Computed Tomography Across Conventional and Deep Learning Reconstructions.

Journal of computer assisted tomography Jan 15, 2026

OBJECTIVE: Image quality evaluation in radiology is most relevant when reflects radiologists' performance. This study assessed how image quality measurement in terms of in vivo-characterized detectability index () for low-contrast liver lesion assess... read more

A Review of Recent Developments in Artificial Intelligence and Big Data Technologies for Ophthalmology Referrals and Clinical Practice.

Medical science monitor : international medical journal of experimental and clinical research Jan 15, 2026

Ophthalmology is undergoing rapid transformation through the integration of smart technologies such as artificial intelligence (AI), big data analytics, and clinical decision support systems (CDSS). With increasing pressure to improve clinical effici... read more

Humans Artificial Intelligence Algorithms Electronic Health Records Big Data Decision Support Systems, Clinical Ophthalmology Referral and Consultation Eye Diseases

Prognostic Significance of Computed Tomography Severity Score for Machine Learning Prediction of Intensive Care Unit Admission in COVID-19 Patients.

Thoracic research and practice Jan 15, 2026

OBJECTIVE: The computed tomography-severity score (CT-SS) quantifies the severity of pulmonary involvement and is significantly associated with disease severity, intensive care unit (ICU) admissions, and mortality in coronavirus disease-2019 (COVID-1... read more

Artificial Intelligence in Pleural Diseases: Current Applications and Next Steps.

Thoracic research and practice Jan 15, 2026

Pleural diseases pose a significant burden on healthcare systems due to diagnostic challenges and high costs. Artificial intelligence (AI) has the potential to provide faster, more accurate, and more reliable results in the diagnosis of these disease... read more

A Deep Representation Learning Method for Quantitative Immune Defense Function Evaluation and Its Clinical Applications.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Jan 15, 2026

The immune defense function protecting the body from invasive pathogens is a key indicator of an individual's health and lacks of methods for quantitative evaluation. This study introduces ImmuDef, a novel algorithm for precisely and quantitatively a... read more

The bio-corrosion mechanisms, mathematical modelling and machine learning applications in concrete structures: a systematic review.

Biofouling Jan 15, 2026

Concrete is a widely utilised material for infrastructure such as sea-crossing bridges, harbour terminals and sewage pipelines. However, concrete structures are susceptible to various forms of deterioration, including biological and chemical corrosio... read more

Artificial Intelligence Medical Compendium